Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training OpenAI API - Integrating Generative AI in Production training are: Advanced mastery of Python, REST/GraphQL APIs, and machine learning basics. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training OpenAI API - Integrating Generative AI in Production training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training OpenAI API - Integrating Generative AI ... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training OpenAI API - Integrating Generative AI in Production training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training OpenAI API - Integrating Generative AI in Production training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training OpenAI API - Integrating Generative AI in Production training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master the OpenAI API for professional, certified AI integrations

Develop intelligent agents with GPT-4o and custom models

Optimize API calls for reduced costs and maximum performance

Implement security and GDPR compliance in enterprise apps

Design advanced RAG pipelines for reliable contextual responses

Deploy scalable OpenAI API applications in cloud production

Acquire fine-tuning skills for custom models

Training program

Module 1OpenAI API Architecture: Advanced Configuration and Secure Authentication (Python SDK, API Keys, Rate Limits)

Dive into the OpenAI API development environment with installation of the latest Python SDK, secure API key configuration via environment variables, and advanced quota management. Practical exercises on authenticated calls to GPT-4o, analysis of structured JSON responses, real-time debugging with custom logging, and creation of a first reusable AI assistant for concrete business cases, immediately enhancing your professional skills.

Module 2Advanced OpenAI API Models: Fine-Tuning and Custom Embeddings (GPT Series, Vector Stores, RAG Basics)

Explore flagship models like GPT-4o and o1 with fine-tuning on proprietary datasets via the OpenAI interface, integration of embeddings for semantic search, and setup of simple Retrieval-Augmented Generation on your company data. Hands-on workshops on tuning with perplexity evaluation and benchmarks, generation of optimized content for e-commerce or customer support, producing testable deliverables that boost your certified AI expertise.

Module 3OpenAI API Integrations: Multi-Tool Agents and Enterprise Security (Function Calling, Assistants API, Guardrails)

Build autonomous agents via Assistants API with Function Calling to connect to external tools like SQL databases or third-party APIs. Implement guardrails against hallucinations and biases, workshops on moderating sensitive content in GDPR compliance, practical cases of integration into Node.js or Flask web apps, robustness testing under load, and development of intelligent workflows for business automation, transforming your projects into performant and secure AI solutions.

Module 4OpenAI API Deployment: Optimization and Scaling in Production (Vercel, AWS Lambda, Cost Monitoring)

Master serverless deployment of OpenAI API apps on Vercel or AWS with GitHub Actions CI/CD, token optimization to reduce costs by 50% via caching and batching, advanced monitoring with LangSmith and Prometheus. Exercises on horizontal scaling for 1000+ req/min, final security audit and maintenance plan, completion of the core project deployed live, ready for your company challenges, consolidating your advanced professional AI skills.